class_docstr: Give a sentiment intensity score to sentences.
code: def _amplify_qm(self, text):
      # check for added emphasis resulting from question marks (2 or 3+)
      qm_count = text.count("?")
      qm_amplifier = 0
      if qm_count > 1:
          if qm_count <= 3:
              # (empirically derived mean sentiment intensity rating increase for
              # question marks)
              qm_amplifier = qm_count * 0.18
          else:
              qm_amplifier = 0.96
      return qm_amplifier
  
imports: import math
  import re
  import string
  from itertools import product
  import nltk.data
  from nltk.util import pairwise
label_desc: Use image node_id 11 for calling the SentimentIntensityAnalyzer obj's underlying member method code with example usage: obj._amplify_qm(text) and returns: qm_amplifier